Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.
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6. The computer implemented method of claim 5, wherein the instability further comprises the measurement of change of the message embedding to change relative to a corresponding embedding of the first digital identity based on a change to at least one of a plurality of message metrics.
7. The computer implemented method of claim 1, wherein the plurality of first message metrics comprise at least one of: TLS Cipher Suite Selection; a preload list honored; a TLS version; at least one TLS feature; at least one TLS match expectation; negotiation of at least one of HTTP 1.0, HTTP 2.0, and QUIC; at least one timing threshold; a count of at least one failed retry connection by the candidate entity; an interval at which the candidate entity sends the at least one failed retry connection; header structure; cookie retention; cookie storage; maximum number of cookies permitted; maximum length of cookie permitted; version variance; payload size; fault tolerance; VAST sequencing; HTTP Lib; at least one Cacheable timing; network geography; jitter handling; redirect parameters; at least one transfer sequence parameter; buffering timing; at least one caching parameter; at least one encoding parameter; at least one DNS timing parameter; at least one DNS caching parameter; at least one event origin parameter; at least one creative origin parameter; at least one waterfall type parameter, at least one mutation; at least one auction effect; at least one trace parameter; at least one distribution parameter; at least one textual characteristic; at least one sequence characteristic; at least one looping characteristic; at least one publisher characteristic; at least one exchange characteristic; and at least one composition characteristic.
13. The computer implemented method of claim 8, wherein the plurality of first message metrics comprise at least one of: TLS Cipher Suite Selection; a preload list honored; a TLS version; at least one TLS feature; at least one TLS match expectation; negotiation of at least one of HTTP 1.0, HTTP 2.0, and QUIC; at least one timing threshold; a count of at least one failed retry connection by the candidate entity; an interval at which the candidate entity sends the at least one failed retry connection; header structure; cookie retention; cookie storage; maximum number of cookies permitted; maximum length of cookie permitted; version variance; payload size; fault tolerance; VAST sequencing; HTTP Lib; at least one Cacheable timing; network geography; jitter handling; redirect parameters; at least one transfer sequence parameter; buffering timing; at least one caching parameter; at least one encoding parameter; at least one DNS timing parameter; at least one DNS caching parameter; at least one event origin parameter; at least one creative origin parameter; at least one waterfall type parameter, at least one mutation; at least one auction effect; at least one trace parameter; at least one distribution parameter; at least one textual characteristic; at least one sequence characteristic; at least one looping characteristic; at least one publisher characteristic; at least one exchange characteristic; and at least one composition characteristic.
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August 4, 2021
September 27, 2022
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